Data-Driven Archives - gettectonic.com
agentforce digital workforce
13Feb

How Agentforce Works

Salesforce Agentforce: Everything You Need to Know Salesforce Agentforce represents a paradigm shift from generative AI to agentic AI—a new class of AI capable of autonomous action. Since its launch at Dreamforce in September 2024, Agentforce has redefined the conversation around AI, customer service, and experience management. To meet skyrocketing demand, Salesforce announced plans to hire more than 1,000 employees shortly after the launch. What is Salesforce Agentforce? Agentforce is a next-generation platform layer within the Salesforce ecosystem. While its bots leverage generative AI capabilities, they differ significantly from platforms like ChatGPT or Google Gemini. Agentforce bots are designed not just to generate responses but to act autonomously within predefined organizational guardrails. Unlike traditional chatbots, which follow scripted patterns, Agentforce AI agents are trained on proprietary data, enabling flexible and contextually accurate responses. They also integrate with Salesforce’s Data Cloud, enhancing their capacity to access and utilize customer data effectively. Agentforce combines three core tools—Agent Builder, Model Builder, and Prompt Builder—allowing businesses to create customized bots using low-code tools. Key Features of Agentforce The platform offers ready-to-deploy AI agents tailored for various industries, including: Agentforce officially became available on October 25, 2024, with pricing starting at $2 per conversation, and volume discounts offered for enterprise customers. Salesforce also launched the Agentforce Partner Network, enabling third-party integrations and custom agent designs for expanded functionality. How Agentforce Works Salesforce designed Agentforce for users without deep technical expertise in AI. As CEO Marc Benioff said, “This is AI for the rest of us.” The platform is powered by the upgraded Atlas Reasoning Engine, a component of Salesforce Einstein AI, which mimics human reasoning and planning. Like self-driving cars, Agentforce interprets real-time data to adapt its actions and operates autonomously within its established parameters. Enhanced Atlas Reasoning Engine In December 2024, Salesforce enhanced the Atlas Reasoning Engine with retrieval-augmented generation (RAG) and advanced reasoning capabilities. These upgrades allow agents to: Seamless Integrations with Salesforce Tools Agentforce is deeply integrated with Salesforce’s ecosystem: Key Developments Agentforce Testing Center Launched in December 2024, the Testing Center allows businesses to test agents before deployment, ensuring they are accurate, fast, and aligned with organizational goals. Skill and Integration Library Salesforce introduced a pre-built library for CRM, Slack, Tableau, and MuleSoft integrations, simplifying agent customization. Examples include: Industry-Specific Expansion Agentforce for Retail Announced at the NRF conference in January 2025, this solution offers pre-built skills tailored to retail, such as: Additionally, Salesforce unveiled Retail Cloud with Modern POS, unifying online and offline inventory data. Notable Agentforce Customers Looking Ahead Marc Benioff calls Agentforce “the third wave of AI”, advancing beyond copilots into a new era of autonomous, low-hallucination intelligent agents. With its robust capabilities, Agentforce is positioned to transform how businesses interact with customers, automate workflows, and drive success. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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February 13, 2025in Agentforce Platform, Agentic AI, Data, Enterprise, Generative AI, Google, Mulesoft, Salesforce, Salesforce Einstein0 Comments
AI evolves with tools like Agentforce and Atlas
03Feb

Salesforce Atlas

Salesforce Atlas: The Brainpower Behind AI-Driven Transformation A New Era of AI for Enterprise AI is reshaping industries at an unprecedented pace, and agentic AI—AI that can think, plan, and act autonomously—is at the forefront of this revolution. Salesforce is leading the charge with Agentforce, a low-code platform that allows businesses to build, refine, and deploy autonomous AI agents across multiple business functions. At the core of this innovation is Salesforce Atlas, the reasoning engine that empowers Agentforce to tackle complex decision-making tasks just like a human. But Atlas goes further—it continuously learns, adapts, and evolves, setting a new standard for AI-driven enterprises. Let’s explore how Atlas works, its capabilities, and why it’s a game-changer for businesses. Salesforce Atlas: The Reasoning Engine Powering Agentforce Atlas is the intelligent decision-making engine that powers Agentforce’s AI agents. Rather than simply following predefined rules, Atlas evaluates data, refines its approach, and continuously learns from outcomes. When an AI agent encounters a decision point, Atlas asks: ➡️ Do I have enough data to ensure accuracy?✔ If yes, it proceeds with a decision.❌ If no, it seeks additional data or escalates the issue. This iterative learning process ensures that AI agents become more reliable, context-aware, and autonomous over time. Salesforce CEO Marc Benioff teased the potential of Atlas, revealing that: 📊 “We are seeing 90-95% resolution on all service and sales issues with the new Atlas.” That’s a staggering success rate, demonstrating how AI-driven reasoning can transform enterprise efficiency and customer engagement. How Salesforce Atlas Works: The “Flywheel” Process Atlas operates using a structured flywheel process that enables self-improvement and adaptability. Here’s how it works: 1️⃣ Data Retrieval – Atlas pulls structured and unstructured data from the Salesforce Data Cloud.2️⃣ Evaluation – It analyzes the data, generates a plan of action, and assesses whether the plan will drive the desired outcome.3️⃣ Refinement – If the plan isn’t strong enough, Atlas loops back, refines its approach, and iterates until it’s confident in its decision. This cycle repeats continuously, ensuring AI agents deliver accurate, data-driven outcomes that align with business goals. Once a task is completed, Atlas learns from the results, refining its approach to become even smarter over time. The Core Capabilities of Salesforce Atlas Atlas stands out because of its advanced reasoning, adaptive learning, and built-in safeguards—all designed to deliver trustworthy, autonomous AI experiences. 1. Advanced Reasoning & Decision-Making Atlas doesn’t just execute tasks; it thinks critically, determining the best way to approach each challenge. Unlike traditional AI models that follow rigid scripts, Atlas: 🔍 Analyzes real-time data to determine the most effective course of action.📊 Refines its decisions dynamically based on live feedback.🌍 Adapts to changing circumstances to optimize outcomes. At Dreamforce 2024, Marc Benioff demonstrated Atlas’s power by showcasing how it could optimize theme park experiences in real time, analyzing: 🎢 Ride availability👥 Guest preferences🚶 Park flow patterns This real-time decision-making showcases the game-changing potential of agentic AI. 2. Advanced Data Retrieval Atlas leverages Retrieval-Augmented Generation (RAG) to pull highly relevant, verified data from multiple sources. This ensures: ✔ More accurate responses✔ Minimized AI hallucinations✔ Reliable, data-driven insights For example, Saks Fifth Avenue uses Atlas to personalize shopping recommendations for millions of customers—tailoring experiences with precision. 3. Built-in Guardrails for Security & Compliance Salesforce recognizes the importance of AI governance, and Atlas includes robust safeguards to ensure responsible AI usage. 🔐 Ethical AI protocols – Ensures compliance with evolving regulations.🚨 Escalation capabilities – AI knows when to seek human intervention for complex issues.🌍 Hyperforce security – Provides enterprise-grade privacy and security standards. These protections ensure Atlas operates securely, responsibly, and at scale across global enterprises. 4. Reinforcement Learning & Continuous Improvement Atlas doesn’t just process data—it learns from outcomes. 🔄 Refines decisions based on real-world results📈 Optimizes performance over time⚡ Becomes increasingly efficient and tailored to business needs Whether it’s increasing sales conversions, resolving service issues, or optimizing workflows, Atlas ensures AI agents grow smarter with every interaction. Why Salesforce Atlas is a Game-Changer Salesforce Atlas isn’t just another AI tool—it’s the brain behind Salesforce’s next-generation AI ecosystem. With Atlas, businesses can: ✅ Automate complex tasks with AI-driven decision-making.✅ Deliver hyper-personalized customer experiences with confidence.✅ Scale AI-powered workflows across sales, service, and operations.✅ Ensure compliance and trust with built-in governance measures.✅ Adapt AI capabilities to meet evolving business needs. Marc Benioff envisions Atlas as the core of a future where AI and humans collaborate to drive innovation and efficiency. By combining advanced reasoning, dynamic adaptability, and enterprise security, Atlas empowers organizations to work smarter, faster, and more effectively—unlocking the full potential of agentic AI. The future of AI-driven enterprise has arrived. With Salesforce Atlas, businesses can build AI agents that don’t just follow instructions—they think, learn, and evolve. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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February 3, 2025in Agentforce Platform, Agentic AI, Data, Enterprise, Hyperforce, Salesforce, Salesforce Data Cloud0 Comments
AI Agents and Digital Transformation
30Jan

AI Agents Help Streamline Customer Service

AI Agents Help Fisher & Paykel Streamline Customer Service Through Expanded Salesforce Partnership Fisher & Paykel, the New Zealand-based luxury appliance manufacturer, is leveraging AI agents to automate customer service tasks, such as answering frequently asked questions and scheduling service appointments. This initiative is designed to free up employee time for more value-added tasks, enhancing the overall customer service experience. In collaboration with Salesforce, Fisher & Paykel is using autonomous agents that integrate seamlessly with its CRM system, providing agents with greater visibility into customers’ interaction histories. This enables more efficient, data-driven interactions and allows the company to proactively resolve issues, such as freezer temperature irregularities, by automatically notifying customers and helping them schedule necessary appointments. For instance, AI agents can diagnose appliance issues, alert the service team, and assist customers in scheduling repair appointments. These agents also support on-site technicians by providing critical information, such as appointment locations and appliance age, while offering helpful articles and generating post-service summaries. Additionally, the integration of AI agents will enhance collaboration with Fisher & Paykel’s retail, builder, and designer partners. These partners will benefit from more efficient access to inventory information, accurate quotes for multiple products, and streamlined order placement and tracking. Enhancing Automation-Ready Environments This initiative builds on existing capabilities from the partnership, combining AI, data, and CRM functions such as subscription management and consolidated customer engagement data. The results have been impressive: Fisher & Paykel saw a 206% increase in unique email opens and a 112% rise in unique clicks in 2023. They also reduced manual effort by 30 minutes per order and saved up to 3,300 hours through automation in the B2B side of their business, according to Salesforce. In addition to service automation, Fisher & Paykel is tapping into AI-driven automated journeys based on consumer buying signals and cloud-based customer service support that automates appointment confirmations. Rudi Khoury, Chief Digital Officer at Fisher & Paykel, emphasized that customer expectations for efficiency and personalized service align perfectly with the brand’s luxury offerings, highlighting the importance of AI in meeting these demands. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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January 30, 2025in Salesforce0 Comments
AI Agents as Tools of Trust
29Jan

Reviving Cold Leads with AI Agents

Reviving Cold Leads with AI Agents: Turning Dormant Prospects into Sales Opportunities In sales and marketing, cold or dormant leads often represent untapped potential. AI-powered agents can transform these “dead” leads into engaged prospects by analyzing past interactions, identifying key behavioral patterns, and executing data-driven re-engagement strategies. By leveraging AI, businesses can reignite interest and significantly improve conversion rates, ensuring that no potential customer is left behind. How AI Agents Revive Leads 1. Intelligent Lead Scoring and Prioritization AI can assess historical data, engagement levels, and demographic information to rank leads based on their likelihood to convert. This enables sales teams to focus on high-potential leads while automating engagement with lower-priority ones. 2. Hyper-Personalized Communication AI-driven insights allow businesses to craft highly relevant, tailored messages that align with each lead’s past interactions, preferences, and pain points. 3. Automated Nurture Campaigns AI streamlines lead nurturing through automated workflows that deliver relevant content across multiple channels, ensuring consistent engagement without manual intervention. 4. Predictive Analytics for Lead Conversion By leveraging machine learning models, AI predicts which leads are most likely to convert and recommends the best engagement strategies. 5. Real-Time Dynamic Content Adaptation AI ensures that communication remains relevant by adjusting messaging in real-time based on user behavior and engagement. Key Benefits of Using AI to Revive Leads 1. Increased Conversion Rates AI enhances engagement by delivering highly targeted, relevant messaging, increasing the likelihood of turning cold leads into paying customers. 2. Enhanced Sales Efficiency By automating lead nurturing and prioritization, AI allows sales teams to focus on high-value interactions, reducing manual workload and improving overall efficiency. 3. Cost Reduction and Resource Optimization AI minimizes wasted marketing spend by identifying which leads are worth pursuing, ensuring that budgets are allocated effectively. 4. Scalable and Consistent Engagement AI-powered systems ensure that no lead falls through the cracks, maintaining consistent follow-ups and personalized interactions at scale. 5. Data-Driven Decision Making By continuously analyzing engagement metrics and refining strategies, AI enables sales and marketing teams to make smarter, data-backed decisions. Conclusion AI agents are revolutionizing lead revival by intelligently prioritizing prospects, personalizing communication, and automating engagement strategies. Salesforce Agentforce is leading the charge. By leveraging AI-driven insights and predictive analytics, businesses can transform dormant leads into active opportunities, driving higher conversions and maximizing sales efficiency. As AI technology continues to evolve, its ability to re-engage and convert leads will only become more sophisticated, making it an essential tool for any sales and marketing team. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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January 29, 2025in Data, Technology0 Comments
agetnforce for nonprofits
25Jan

Empowering Nonprofits with Salesforce Technology

Nonprofit organizations face unique challenges, from managing donor relationships and tracking donations to optimizing operations and driving impactful campaigns. AgentForce by Salesforce is an AI-powered solution designed to address these needs, helping nonprofits streamline workflows, enhance donor engagement, and amplify their mission impact. Why Choose AgentForce for Nonprofit Organizations? AgentForce simplifies nonprofit operations by integrating donor management, program tracking, and fundraising tools into a single platform. This allows organizations to focus on what matters most—fulfilling their mission. Powered by AI and automation, AgentForce strengthens donor relationships, improves transparency, and supports data-driven decision-making. Key Benefits of AgentForce for Nonprofits Key Features of AgentForce for Nonprofits Why Partner with Tectonic? At Tectonic, we specialize in empowering nonprofits by implementing AgentForce to meet their unique needs. With a team of Salesforce-certified experts, we ensure seamless integration that maximizes the platform’s capabilities, helping you achieve your goals efficiently. How We Help Nonprofits Real-World Impact of AgentForce in Nonprofits Ready to Transform Your Nonprofit Operations? Empower your team, engage supporters, and amplify your mission impact with AgentForce by Salesforce. Contact Tectonic Today Schedule a free meeting to learn how AgentForce can revolutionize your nonprofit’s operations and help you achieve your goals. Let’s work together to make the world a nicer place! Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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January 25, 2025in Data, Salesforce, Salesforce Marketing Cloud, Technology0 Comments
Native Salesforce App to Simplify Event Management
20Jan

Native Salesforce App to Simplify Event Management

Why a Native Salesforce App Changes Everything Streamlined Event Operations Blackthorn.io’s platform eliminates the need for external integrations by operating entirely within Salesforce. This means event data—registrations, payments, and attendee interactions—is instantly accessible and linked to existing CRM records in real-time. Case in Point: USC Marshall School of Business Facing inefficiencies in manual data entry and registration processes, USC Marshall School adopted Blackthorn.io’s solution. They leveraged branded event pages, automated attendee check-ins, and simplified scaling for admissions events. The Salesforce-native architecture streamlined data analysis, ensuring a single source of truth and improving follow-ups with prospective students. Harnessing Salesforce Data for Personalization Blackthorn.io’s platform empowers organizations to personalize event experiences using CRM data. For example: Traditional event tech systems only pull basic fields into Salesforce. In contrast, Blackthorn.io leverages all standard and custom Salesforce fields, enabling planners to design deeply personalized event experiences. Addressing Integration Challenges Event planners often face inefficiencies caused by integrating third-party platforms with Salesforce, such as data flow disruptions, duplicate management, and delays. Blackthorn.io removes these obstacles by unifying event data with CRM data. This seamless approach enables real-time management of everything from registration to post-event follow-ups, cutting hours of manual work. 🔔🔔  Follow us on LinkedIn  🔔🔔 Applications Across Industries Corporate Events Higher Education Healthcare Nonprofits Associations AI and Automation: Redefining Event Planning Leverage Salesforce AI Blackthorn.io taps into Salesforce’s AI capabilities to deliver advanced insights, such as correlating event attendance with conversion likelihood. This reduces planning time and enhances decision-making. AgentForce AI AgentForce from SalesforceLaunching in 2025, Blackthorn.io’s upcoming AgentForce-based AI will analyze multiple data sources for insights beyond traditional reporting. It will answer questions like, “Which events are most effective for donor acquisition?” Scaling with Personalization Key Features Clients Love The Blackthorn Advantage By operating natively within Salesforce, Blackthorn.io simplifies event management while empowering organizations to deliver personalized, data-driven experiences. Its unified approach to event data eliminates inefficiencies, scales effortlessly, and opens up new opportunities for meaningful engagement across industries. Ready to transform your event management? Discover the power of Blackthorn.io with Tectonic and start planning smarter today. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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January 20, 2025in Agentforce Platform, Data, Generative AI, Google, Salesforce0 Comments
19Jan

Outsourced Salesforce Admin

Maximizing Business Potential with Outsourced Salesforce Admin Services Salesforce is an indispensable tool for managing customer relationships, streamlining operations, and driving growth. However, fully leveraging Salesforce’s capabilities requires skilled management, regular maintenance, and continuous updates. While some businesses prefer in-house management, outsourcing Salesforce admin services has emerged as a strategic option offering numerous advantages, including cost savings, access to specialized expertise, and improved system performance. This allows businesses to focus on core priorities. Key Benefits of Outsourcing Salesforce Admin Services 1. Access to Specialized Expertise Salesforce’s vast features and capabilities demand a deep understanding of its tools, integrations, and customizations. Outsourcing provides access to professionals with industry-specific expertise and up-to-date knowledge of Salesforce advancements. These experts ensure system optimization by implementing advanced features, automating workflows, and customizing dashboards, minimizing downtime, resolving issues efficiently, and improving overall system reliability. 2. Scalability and Flexibility Business needs evolve over time, and so do Salesforce requirements. Outsourced teams offer scalability and adaptability, making it easy to adjust services during periods of growth, mergers, system upgrades, or market expansion. This flexibility ensures businesses can meet their changing needs without disrupting operations. 3. Cost Efficiency and Resource Optimization Hiring and training in-house Salesforce administrators can be expensive. Outsourcing eliminates these costs by providing access to top-tier talent without the overhead of full-time employees. Moreover, outsourcing allows internal teams to focus on strategic initiatives rather than day-to-day Salesforce management, maximizing productivity. 4. Enhanced Security and Compliance Protecting sensitive data and ensuring regulatory compliance is critical, especially in highly regulated industries. Outsourced Salesforce administrators bring extensive experience in implementing robust security measures, conducting regular audits, and mitigating vulnerabilities. Their proactive approach ensures data integrity and minimizes risks. 5. Improved Operational Efficiency Outsourcing ensures routine maintenance, performance monitoring, and data cleansing are consistently handled, reducing errors and improving system performance. Outsourced teams also use advanced tools to identify inefficiencies and recommend optimizations, creating streamlined workflows and resource utilization. 6. Quick Issue Resolution Experienced outsourced admins can diagnose and resolve technical issues promptly, minimizing disruptions. Their expertise and access to dedicated support channels ensure faster problem resolution, enabling businesses to maintain productivity and meet customer expectations. 7. Strategic Guidance and Insights Beyond daily management, outsourced professionals provide valuable strategic insights based on their cross-industry experience. From identifying automation opportunities to recommending data-driven strategies, they help businesses leverage Salesforce to achieve long-term objectives and foster innovation. 8. Tailored Customization and Integration Salesforce’s customization potential is vast, but it requires expertise to align the system with business goals effectively. Outsourcing ensures seamless integration and customization, whether through unique workflows, custom applications, or third-party tools. This tailored approach maximizes ROI and ensures Salesforce evolves with the organization. 9. Continuity Despite Employee Turnover Employee turnover in in-house teams can disrupt Salesforce management. Outsourced providers ensure continuity through established processes and teams, minimizing downtime and reducing the burden on internal staff. 10. Focus on Core Competencies Outsourcing Salesforce management allows internal teams to focus on innovation, market expansion, and customer service, while experts handle Salesforce’s complexities. This alignment of resources drives long-term success. 11. Access to Advanced Tools and Technologies Outsourced teams leverage advanced tools for data accuracy, performance insights, and productivity enhancements. These technologies improve system usability and allow businesses to stay competitive. 12. Knowledge Updates and Ongoing Training Salesforce evolves continuously, requiring admins to stay updated with new features and industry trends. Outsourced professionals invest in ongoing training and certifications, ensuring businesses benefit from the latest advancements without dedicating internal resources to training. 13. Time-Zone Benefits and 24/7 Support For global businesses, outsourced teams provide round-the-clock support to address technical issues promptly, regardless of time zones. Maintenance tasks can also be scheduled during non-business hours, minimizing disruptions and enhancing efficiency. Conclusion Outsourcing Salesforce admin services is a strategic investment for businesses aiming to enhance performance, drive growth, and streamline operations. By leveraging the expertise of skilled professionals, businesses can benefit from seamless system management, tailored customizations, and proactive support while reducing costs and resource demands. For organizations seeking to stay competitive in today’s dynamicmarketplace, outsourcing Salesforce admin services is not just a convenience but a strategic move toward achieving long-term success. By leaving Salesforce management to the experts, businesses can focus on their core goals and drive innovation. Contact Tectonic Today. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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January 19, 2025in Data, Salesforce0 Comments
Process Mining in Salesforce Optimization
09Jan

Process Mining in Salesforce Optimization

Unlocking the Power of Process Mining in Salesforce Optimization In today’s highly competitive business environment, optimizing Customer Relationship Management (CRM) systems is crucial for achieving success. Salesforce, one of the leading CRMs, is a key tool for organizations seeking to enhance their operational efficiency and customer engagement. To unlock the full potential of Salesforce, organizations must gain a deep understanding of their workflows. Without a clear grasp of process dynamics, achieving true CRM optimization becomes challenging. This is where process mining—a cutting-edge, data-driven technology—comes into play. By analyzing and improving Salesforce CRM workflows, process mining empowers businesses to streamline operations, enhance customer experiences, and drive growth. Streamlining Your Business Processes with Process Mining Key Benefits of Process Mining in Salesforce Optimization: Explore process mining and CRM optimization within Salesforce. Through our commitment to innovation and excellence, we help organizations fully realize the potential of their CRM investments with data-driven insights and continuous process improvement. FAQs Q: What role does process mining play in CRM efficiency with Salesforce?A: Process mining optimizes CRM workflows by analyzing data flows and task performance within Salesforce. Q: How does process mining integrate with Salesforce?A: Process mining seamlessly integrates with Salesforce, connecting to its data in real-time without disrupting CRM processes. Q: What are the benefits of using process mining for CRM optimization?A: Benefits include enhanced data-driven decision-making, improved customer experiences, and a deeper understanding of workflow dynamics. Q: How does process mining support continuous improvement in CRM processes?A: Continuous analysis and the identification of optimization opportunities enable ongoing improvements within Salesforce. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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January 9, 2025in Data, Salesforce, Salesforce Optimization, Technology0 Comments
03Jan

Digital Marketing for Casinos

Unveiling the Casino Experience: Harnessing the Power of Digital Marketing In the exciting world of casinos—where entertainment meets sophistication—the influence of digital marketing is undeniable. A strategic approach is packed with actionable insights designed to boost online presence, engage audiences, and drive sustained success. Discover how to craft compelling content, wield social media’s dynamic power, utilize a customer relationship platform, and optimize visibility to ensure your casino stands out in an increasingly competitive digital arena. Tectonic has a successful, winning track record in Salesforce implementation for casinos. Whether you’re promoting exclusive guest events, captivating diverse demographics, or showcasing the unique experience of your casino, this insight equips you to master the digital space with Salesforce. With these strategies, casinos can create a ever-growing online presence that not only strengthens bonds with existing patrons but also entices new guests. Generating New and Repeat Guest Traffic with Salesforce Key Takeaways Why Digital Marketing is a Critical Component for Casinos Digital marketing serves as a critical driver of customer engagement, loyalty, and revenue growth in the casino industry. Strategies such as SEO, email marketing, and social media engagement empower casinos to connect with target audiences and continuously refine their efforts to remain competitive. In today’s crowded and competitive gaming world, leveraging data-driven marketing offers the competitive edge needed to captivate and retain customers. Winning Strategies for Casino Marketing 1. Search Engine Optimization (SEO):Ensure your casino is easy to find with these tactics: 2. Pay-Per-Click Advertising (PPC):Drive traffic with targeted PPC campaigns by: 3. Social Media Marketing:Create buzz with engaging social media campaigns: 4. Email Marketing:Maintain direct communication with: 5. Salesforce 360 Degree Guest View:Maintain personalized communication with: Reaching the Right Audience with Precision Audience Segmentation:Segmenting your audience by behavior, demographics, and preferences ensures more effective marketing. Navigating Legal and Ethical Challenges in Casino Marketing Compliance is essential in maintaining trust and navigating complex regulations. Measuring Success: Metrics and Optimization Key Metrics to Monitor: Campaign Optimization: Addressing Industry Challenges with Marketing 1. Rising Competition:Stand out by delivering unmatched gaming experiences and innovative promotions. 2. High Player Churn:Combat churn with data-driven marketing and personalized offerings to boost player lifetime value. 3. ROI Challenges:Optimize your mix of games and services to balance player satisfaction and profitability. The Road Ahead: Commitment to Digital Transformation With the global online gaming market projected to grow at a significant pace, casinos must embrace a future grounded in digital and data-driven marketing. Investments in technology, analytics, and talent will be pivotal in securing long-term profitability and differentiation. In an industry where chance often rules, success lies in a deliberate, strategic approach to digital marketing. This insight equips you with the tools to not only compete but thrive in this dynamic landscape. Contact Tectonic today to explore Salesforce tools to better reach, engage, and serve your guests. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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January 3, 2025in Agentforce Platform, Data, Einstein 1 Platform, Einstein Insights, Enterprise, Laws, Marketing Automation, Salesforce, Salesforce Data Cloud, Salesforce Development Services, Salesforce Experience Cloud, Salesforce Hospitality Travel and Transportation, Salesforce Implementation Services, Technology

The Subscription Economy

The Subscription Economy: A $1.5 Trillion Opportunity by 2025The subscription economy has expanded by 435% over the last decade and is projected to reach a staggering $1.5 trillion market size by 2025, cementing its status as a dominant business model. Companies leveraging subscription and servitization strategies are unlocking consistent revenue streams and delivering tailored services that foster customer loyalty and satisfaction. The Challenge of Managing RenewalsWhile the subscription economy thrives, managing renewals effectively remains a critical challenge. Without a robust system, businesses risk: This is where Salesforce CPQ (Configure, Price, Quote) becomes essential. It not only automates the renewal process but also empowers businesses to deliver accurate, timely, and personalized renewal experiences. The Role of Salesforce CPQ in Renewal ManagementSalesforce CPQ streamlines the renewal process by automating workflows, ensuring pricing accuracy, and creating personalized customer experiences. Key benefits include: With Salesforce CPQ, renewals become a strategic opportunity to retain customers, drive revenue growth, and deliver exceptional service. The Importance of Renewal Metrics Tracking the right renewal metrics is crucial for understanding performance and identifying areas for improvement. These metrics provide actionable insights that drive better customer retention and revenue growth. 1. Renewal Rate 2. Churn Rate 3. Renewal Revenue 4. Net Revenue Retention (NRR) 5. Customer Lifetime Value (CLV) 6. Time to Renewal (TTR) 7. Renewal Upsell Rate 8. Renewal Discount Utilization Enhancing Renewal Metrics with Salesforce CPQ Salesforce CPQ transforms how you track and manage renewal metrics through automation, analytics, and workflow optimization. Here’s how: 1. Automate Renewal Tracking 2. Enhance Reporting and Analytics 3. Optimize Workflows 4. Analyze and Improve 5. Train and Support Teams Conclusion Salesforce CPQ revolutionizes renewal management by automating processes, reducing errors, and delivering actionable insights through renewal metrics. By implementing these tools and strategies, you can improve customer retention, increase revenue, and build stronger customer relationships. Whether managing hundreds or thousands of renewals, Salesforce CPQ ensures your business stays ahead with precision and care. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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January 2, 2025in Data, Enterprise, Salesforce, Salesforce CPQ

Salesforce Business Automation

Streamlining Business Automation: A Guide to Successful Salesforce Implementation Salesforce is a lightning jolt for business automation, offering powerful tools to enhance efficiency and productivity. However, implementing Salesforce is a complex process that requires strategic planning and execution. This insight will walk you through best practices for Salesforce implementation, helping you avoid common pitfalls and maximize the platform’s benefits. From defining clear business objectives to post-implementation performance measurement, we’ve got you covered. Understanding Salesforce Implementation Implementing Salesforce is more than simply installing software—it’s a strategic process that must align with your business goals. Successful implementation requires understanding each critical phase, including: Each phase builds toward a solution that drives operational improvements and delivers measurable results. The Role of Salesforce in Business Automation Salesforce transforms business processes by automating repetitive tasks, integrating workflows, and providing real-time analytics. These capabilities empower teams to focus on strategic activities, fostering growth and improving customer engagement. The platform’s automation features enhance decision-making, streamline operations, and deliver actionable insights, making it an essential tool for any data-driven organization. Best Practices for Salesforce Implementation 1. Define Clear Business Objectives Set specific, measurable, and strategic goals that Salesforce can address. Identify business challenges and align objectives with user needs to ensure widespread adoption and long-term success. 2. Conduct a Thorough Needs Analysis Analyze existing processes, identify gaps, and engage stakeholders to gather input. A detailed needs analysis ensures Salesforce is configured to address real pain points and deliver value. 3. Develop a Comprehensive Roadmap Create an implementation roadmap outlining timelines, responsibilities, resources, and risk mitigation strategies. A clear roadmap keeps the project on track and fosters effective communication. 4. Prioritize Data Quality and Governance Start by cleansing existing data to remove inaccuracies and duplicates. Implement governance policies to maintain data integrity, ensuring Salesforce delivers accurate insights. 5. Customize Thoughtfully Tailor Salesforce to enhance existing workflows rather than disrupting them. Engage users to understand their needs and avoid unnecessary complexity that could hinder usability or future updates. 6. Engage Certified Salesforce Partners Collaborate with experienced Salesforce partners to leverage best practices, avoid common pitfalls, and tailor the platform to your unique requirements. The Importance of User Adoption and Training User adoption is crucial for Salesforce’s success. Engage end-users early, involve them in the process, and provide tailored, hands-on training. Post-launch, offer continuous support and advanced training to help users unlock Salesforce’s full potential. Strategies to maximize adoption include: Post-Implementation Success Once Salesforce is live, focus on monitoring performance, gathering feedback, and fostering continuous improvement. 1. Measure Success with KPIs Track key performance indicators (KPIs) to evaluate Salesforce’s impact on your business objectives. Identify trends, address challenges, and ensure the platform remains aligned with your goals. 2. Establish a Feedback Mechanism Encourage users to share feedback and suggest improvements. Regularly review input to refine the system and ensure it evolves with your organization’s needs. 3. Provide Ongoing Support Maintain a dedicated support team to address queries and troubleshoot issues promptly. Continuous training sessions keep users updated and confident in leveraging new features. Avoiding Common Pitfalls Awareness of potential challenges can help you mitigate risks. Common pitfalls to avoid include: By addressing these challenges proactively, you set your Salesforce implementation up for success. Embracing the Salesforce Journey Implementing Salesforce is a transformative opportunity for your business. With strategic planning, stakeholder engagement, and a commitment to continuous improvement, Salesforce can revolutionize your operations. If you’re seeking a streamlined solution, consider leveraging tools like Sweep, an AI-powered visual workspace that simplifies Salesforce implementation. With Sweep’s no-code interface, you can design processes, customize fields, and automate workflows effortlessly. Ready to transform your business with Salesforce?Connect with our experts today and unlock the full potential of Salesforce for your organization. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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December 30, 2024in Salesforce
AI is revolutionizing BI by transforming it from a retrospective tool into a proactive, real-time decision-making engine.
30Dec

AI in Business Intelligence

AI in Business Intelligence: Applications, Benefits, and Challenges AI is rapidly transforming business intelligence (BI) by enhancing analytics capabilities and streamlining processes. This shift is reshaping how organizations leverage data for decision-making. Here’s an in-depth look at how AI complements BI, its advantages, and the challenges it introduces. The Evolution of Business Intelligence with AI BI has traditionally focused on aggregating historical and current data to provide insights into business operations—a process known as descriptive analytics. However, many decision-makers seek more: insights into future trends (predictive analytics) and actionable recommendations (prescriptive analytics). AI bridges this gap. With advanced tools like natural language processing (NLP) and machine learning (ML), AI enables businesses to move beyond static dashboards to dynamic, real-time insights. It also simplifies complex analytics, making data more accessible to business users and fostering more informed, proactive decision-making. Key Benefits of AI in Business Intelligence AI brings significant benefits to BI, including: Real-World Applications of AI in BI AI’s integration into BI goes beyond internal efficiency, delivering external value by enhancing customer experiences and driving business growth. Notable applications include: Challenges of AI in Business Intelligence Despite its potential, integrating AI into BI comes with challenges: Best Practices for AI-Driven BI To successfully integrate AI with BI, organizations should: Future Trends in AI and BI AI is expected to augment rather than replace BI, enhancing its capabilities while keeping human expertise central. Emerging trends include: Conclusion AI is revolutionizing BI by transforming it from a retrospective tool into a proactive, real-time decision-making engine. While challenges remain, thoughtful implementation and adherence to best practices can help organizations unlock AI’s full potential in BI. By integrating AI into existing BI workflows, businesses can drive innovation, improve decision-making, and create more agile and data-driven operations. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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December 30, 2024in AI Tools, Data, Generative AI
ThoughtSpot AI agent Spotter enables conversational BI
29Dec

ThoughtSpot AI agent Spotter enables conversational BI

ThoughtSpot Unveils Spotter: A Generative AI-Powered Data Agent ThoughtSpot, a leading analytics vendor, has launched Spotter, an advanced generative AI-powered agent designed to revolutionize how users interact with data. Spotter enables conversational data exploration, contextual understanding, and autonomous analysis, making it a significant leap forward in the analytics landscape. Spotter’s Role in ThoughtSpot’s Evolution Spotter replaces Sage, ThoughtSpot’s earlier generative AI-powered interface, which debuted in March 2023. Despite moving from private to public preview and gaining new capabilities, Sage never reached general availability. Spotter is now generally available for ThoughtSpot Analytics, while its embedded version is in beta testing. Unlike earlier AI tools that focused on question-and-answer interactions, such as Sage and Microsoft’s copilots, Spotter takes the concept further by integrating contextual awareness and autonomous decision-making. Spotter doesn’t just respond to queries; it suggests follow-up questions, identifies anomalies, and provides proactive insights, functioning more like a virtual analyst than a reactive chatbot. Key Features of Spotter Spotter is built to enhance productivity and insight generation through the following capabilities: Generative AI’s Growing Impact on BI ThoughtSpot has long aimed to make analytics accessible to non-technical users through natural language search. However, previous NLP tools often required users to learn specific vocabularies, limiting widespread adoption. Generative AI bridges this gap. By leveraging extensive vocabularies and LLM technology, tools like Spotter enable users of all skill levels to access and analyze data effortlessly. Spotter stands out with its ability to deliver proactive insights, identify trends, and adapt to user behavior, enhancing the decision-making process. Expert Perspectives on Spotter Donald Farmer, founder of TreeHive Strategy, highlighted Spotter’s autonomy as a game-changer: “Spotter is a big move forward for ThoughtSpot and AI. The natural language interface is more conversational, but the key advantage is its autonomous analysis, which identifies trends and insights without users needing to ask.” Mike Leone, an analyst at TechTarget’s Enterprise Strategy Group, emphasized Spotter’s ability to adapt to users: “Spotter’s ability to deliver personalized and contextually relevant responses is critical for organizations pursuing generative AI initiatives. This goes a long way in delivering unique value across a business.” Farmer also pointed to Spotter’s embedded capabilities, noting its growing appeal as an embedded analytics solution integrated with productivity tools like Salesforce and ServiceNow. Competitive Positioning Spotter aligns ThoughtSpot with other vendors embracing agentic AI in analytics. Google recently introduced Conversational Analytics in Looker, and Salesforce’s Tableau platform now includes Tableau Agent. ThoughtSpot’s approach builds on its core strength in search-based analytics while expanding into generative AI-driven capabilities. Leone observed: “ThoughtSpot is right in line with the market in delivering an agentic experience and is laying the groundwork for broader AI functionality over time.” A Step Toward the Future of Analytics With Spotter, ThoughtSpot is redefining the role of AI in business intelligence. The tool combines conversational ease, proactive insights, and seamless integration, empowering users to make data-driven decisions more efficiently. As generative AI continues to evolve, tools like Spotter demonstrate how businesses can unlock the full potential of their data. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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December 29, 2024in AI Tools, Data, Enterprise, Generative AI, Google, Salesforce, Technology
AI-Powered Smarter Media
23Dec

AI Transforming Precision Medicine

How AI-Driven Data Curation is Transforming Precision Medicine Precision medicine—a healthcare approach that personalizes disease prevention and treatment based on insights into a patient’s genes, environment, and behavior—holds incredible promise. However, its success depends on high-quality, curated data from sources like electronic health records (EHRs). This reliance creates significant challenges for healthcare providers and researchers. Can artificial intelligence (AI) help address these hurdles? AI-enabled data curation is already making strides in advancing precision medicine, particularly in oncology. By analyzing vast datasets, including structured and unstructured information, AI is helping healthcare organizations accelerate research and improve patient outcomes. Data Curation Challenges in Precision Medicine Real-world data (RWD) is a key driver of precision medicine, but processing this data is fraught with challenges. According to Dr. C.K. Wang, Chief Medical Officer at COTA, Inc., EHRs provide unprecedented access to detailed patient information, enabling deeper insights into care patterns. However, much of this data resides in unstructured formats, such as clinicians’ notes, making it difficult to extract and analyze. “To transform this unstructured data into actionable insights, significant human expertise and resources are required,” Wang explained. While AI tools like COTA’s CAILIN, which uses advanced search capabilities, streamline this process, human involvement remains essential. Wang emphasized that even with the rapid advancements in AI, healthcare data curation requires expert oversight to ensure quality and reliability. “The adage ‘junk in, junk out’ applies here—without high-quality training data, AI cannot generate meaningful insights,” he noted. PHI and COTA: A Collaborative Approach to AI-Driven Curation To overcome these challenges, Precision Health Informatics (PHI), a subsidiary of Texas Oncology, partnered with COTA to enhance their data curation capabilities. The collaboration aims to integrate structured and unstructured data, including clinician notes and patient-reported outcomes, into a unified resource for precision medicine. PHI’s database, which represents 1.6 million patient journeys, provides a rich resource for hypothesis-driven studies and clinical trial enrichment. However, much of this data was siloed or unstructured, requiring advanced tools and expert intervention. Lori Brisbin, Chief Operating Officer at PHI, highlighted the importance of partnering with a data analytics leader. “COTA’s strong clinical knowledge in oncology allowed them to identify data gaps and recommend improvements,” she said. This partnership is yielding significant results, including a high data attrition rate of 87%—far surpassing the industry average of 50% for similar projects. The Role of AI in Cancer Care AI tools like CAILIN are helping PHI and COTA refine data curation processes by: Brisbin likened the role of AI to sorting images: “If you’re looking for German shepherds, AI will narrow the search but might include similar images, like wolves or huskies. Experts are still needed to validate and refine the results.” Building the Foundation for Better Outcomes The integration of high-quality RWD into analytics efforts is reshaping precision medicine. While clinical trial data offers valuable insights, it often lacks the variability seen in real-world scenarios. Adding RWD to these datasets helps expand the scope of research and ensure broader applicability. For instance, cancer care guidelines developed with RWD can account for diverse patient populations and treatment approaches. COTA’s work with PHI underscores the value of collaborative data curation, with AI streamlining processes and human experts ensuring accuracy. The Future of AI in Precision Medicine As healthcare organizations invest in data-driven innovation, AI will play an increasingly pivotal role in enabling precision medicine. However, challenges remain. Wang noted that gaps in EHR data, such as missing survival metrics, can undermine oncological outcomes research. Advances in interoperability and external data sources will be key to addressing these issues. “The foundation of our partnership is built on leveraging data insights to enhance care quality and improve operational efficiency,” Wang said. Through AI-powered tools and meaningful partnerships, precision medicine is poised to deliver transformative results, empowering providers to offer tailored treatments that improve patient outcomes at scale. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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December 23, 2024in AI Tools, Artificial Intelligence, Data

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